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PaperJet can run on any environment that supports Docker. Setting up your own PaperJet instance is a very simple process.
1

Deployment

Deploy PaperJet onto any VPS
2

Configuration

Create an admin user and add a model
3

Run a sample workflow

Test it out to make sure everything works

Hardware requirements

We recommend a minimum of 2 vCPU and 4gb of RAM. Both x86 and ARM based systems are supported.

Docker compose

Docker compose is the easiest way to set up PaperJet on any environment.

One-liner setup

Run these commands to deploy PaperJet instantly:
curl -o docker-compose.yml https://raw.githubusercontent.com/MLNativeAI/paperjet/main/apps/docs/deployment/docker-compose.yml
docker compose up -d
This will download the complete production setup and start all services in the background.

Configuration

Coming soon. The docker-compose is pre-configured to just start out of the box

Model providers

vLLM

VLLM is the recommended platform for running AI models.

LM Studio

Currently not supported due to a bug with structured outputs